Mobile App Development with Flutter and AI

• An understanding of object-oriented programming
• Experience with software development tools
• Basic knowledge of mobile devices and UI design

Audience

• IT systems developers
• Technical professionals creating mobile interfaces
• Application developers seeking cross-platform and AI integration skills

Mobile App Development with Flutter and AI is the practice of building scalable, secure, and AI-capable mobile applications using modern architectures, UX/UI principles, and agile methodologies.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to build and deploy mobile applications using Flutter, integrate AI features, apply security best practices, and follow agile workflows.

By the end of this training, participants will be able to:

• Develop robust mobile apps using Flutter with a focus on UX/UI design.
• Apply agile development practices throughout the project lifecycle.
• Incorporate AI functionalities such as recommendation engines or chatbots.
• Design secure mobile architectures with Firebase integration.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Agile Methodologies in Mobile Development

• Agile principles and project structures
• User stories, sprints, and iterative feedback
• CI/CD pipelines and rapid release cycles

UX and UI Design for Mobile Apps

• Principles of user experience and interface design
• Wireframes, prototypes, and user testing
• Accessibility and cross-device consistency

Building with Flutter

• Flutter setup and architecture
• Widgets, layouts, and themes
• State management and navigation

Mobile App Architectures

• Layered and modular architectures
• Integration with backend services (Firebase)
• Best practices for maintainability and scalability

AI in Mobile App Development

• Using pre-trained models in Flutter apps
• Chatbots, recommendations, and intelligent automation
• Connecting to AI services (e.g., Dialogflow, ML Kit)

Security in Mobile Apps

• Authentication and authorization with Firebase
• Data encryption and secure storage
• Code obfuscation and secure API calls

Testing, Deployment, and Maintenance

• Unit, widget, and integration testing
• Preparing for Google Play and App Store
• Version control and update strategies

Summary and Next Steps